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ORCIDMarylyn D. Ritchie
Marylyn DeRiggi Ritchie
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- affiliation: Pennsylvania State University, PA, USA
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2020 – today
- 2024
[j49]Bojian Hou, Zixuan Wen, Jingxuan Bao, Richard Zhang
, Boning Tong, Shu Yang, Junhao Wen, Yuhan Cui, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen:
Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. 97: 103231 (2024)- [c52]Rachit Kumar, David Zhang, Marylyn DeRiggi Ritchie:
Genetic Algorithm Selection of Interacting Features (GASIF) for Selecting Biological Gene-Gene Interactions. GECCO 2024 - [i2]Tianqi Shang, Shu Yang, Weiqing He, Tianhua Zhai, Dawei Li, Bojian Hou, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen:
Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs. CoRR abs/2410.09080 (2024) - 2023
- [c51]Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie, Jason H. Moore:
Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors. GECCO Companion 2023: 599-602 - [c50]Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore, Marylyn D. Ritchie, Li Shen:
Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. MLMI@MICCAI (2) 2023: 144-154 - 2022
- [j48]Brian Y. Chen, William Bone, Kim Lorenz, Michael Levin, Marylyn D. Ritchie, Benjamin F. Voight:
ColocQuiaL: a QTL-GWAS colocalization pipeline. Bioinform. 38(18): 4409-4411 (2022) - [j47]Zhuoran Ding, Marylyn D. Ritchie, Benjamin F. Voight, Wei-Ting Hwang:
Estimating the effect size of a hidden causal factor between SNPs and a continuous trait: a mediation model approach. BMC Bioinform. 23(1): 420 (2022) - [j46]Ken Wiley, Laura Findley, Madison Goldrich, Tejinder K. Rakhra-Burris, Ana Stevens, Pamela Williams, Carol J. Bult, Rex L. Chisholm, Patricia Deverka, Geoffrey S. Ginsburg, Eric D. Green, Gail P. Jarvik, George A. Mensah, Erin Ramos, Mary V. Relling, Dan M. Roden, Robb Rowley, Gil Alterovitz, Samuel J. Aronson, Lisa Bastarache, James J. Cimino, Erin L. Crowgey, Guilherme Del Fiol, Robert R. Freimuth, Mark A. Hoffman, Janina M. Jeff, Kevin B. Johnson, Kensaku Kawamoto, Subha Madhavan, Eneida A. Mendonça, Lucila Ohno-Machado, Siddharth Pratap, Casey Overby Taylor, Marylyn D. Ritchie, Nephi Walton, Chunhua Weng, Teresa Zayas-Cabán, Teri A. Manolio, Marc S. Williams:
A research agenda to support the development and implementation of genomics-based clinical informatics tools and resources. J. Am. Medical Informatics Assoc. 29(8): 1342-1349 (2022) - 2021
- [j45]Theodore G. Drivas, Anastasia Lucas, Marylyn D. Ritchie:
eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals. BioData Min. 14(1) (2021) - [j44]Ning Shang, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carroll, Joshua C. Denny, Matthew A. Hathcock, Adelaide M. Arruda-Olson, Peggy L. Peissig, Richard A. Dart, Murray H. Brilliant, Eric B. Larson, David S. Carrell, Sarah A. Pendergrass, Shefali Setia Verma, Marylyn D. Ritchie, Barbara Benoit, Vivian S. Gainer, Elizabeth W. Karlson, Adam S. Gordon, Gail P. Jarvik, Ian B. Stanaway, David R. Crosslin, Sumit Mohan, Iuliana Ionita-Laza, Nicholas P. Tatonetti, Ali G. Gharavi, George Hripcsak, Chunhua Weng, Krzysztof Kiryluk:
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. npj Digit. Medicine 4 (2021) - [i1]Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun, Yogasudha Veturi, Zhijian Yang, Ahmed Abdulkadir, Elizabeth Mamourian, Dhivya Srinivasan, Jingxuan Bao, Güray Erus, Haochang Shou, Mohamad Habes, Jimit Doshi, Erdem Varol, Scott R. Mackin, Aristeidis Sotiras, Yong Fan, Andrew J. Saykin, Yvette I. Sheline, Li Shen, Marylyn D. Ritchie, David A. Wolk, Marilyn S. Albert, Susan M. Resnick, Christos Davatzikos:
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR abs/2110.11347 (2021) - 2020
- [j43]Jason H. Moore, Ian Barnett, Mary Regina Boland, Yong Chen, George Demiris, Graciela Gonzalez-Hernandez, Daniel S. Herman, Blanca E. Himes, Rebecca A. Hubbard, Dokyoon Kim, Jeffrey S. Morris, Danielle L. Mowery, Marylyn D. Ritchie, Li Shen, Ryan J. Urbanowicz, John H. Holmes:
Ideas for how informaticians can get involved with COVID-19 research. BioData Min. 13(1): 3 (2020) - [c49]Xinyuan Zhang, Ruowang Li, Marylyn D. Ritchie:
Statistical Impact of Sample Size and Imbalance on Multivariate Analysis in silico and A Case Study in the UK Biobank. AMIA 2020 - [c48]Marylyn D. Ritchie, Jason H. Moore, Ju Han Kim:
Translational Bioinformatics: Biobanks in the Precision Medicine Era. PSB 2020: 743-747 - [e10]Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Tiffany Murray, Teri E. Klein:
Biocomputing 2021: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 3-7, 2021. WorldScientific 2020, ISBN 9789811232695 [contents]
2010 – 2019
- 2019
- [j42]Jason E. Miller, Yogasudha Veturi, Marylyn D. Ritchie:
Innovative strategies for annotating the "relationSNP" between variants and molecular phenotypes. BioData Min. 12(1): 10:1-10:22 (2019) - [j41]Elisabetta Manduchi, Patryk Orzechowski, Marylyn D. Ritchie, Jason H. Moore:
Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies. BioData Min. 12(1): 14:1-14:16 (2019) - [j40]Xinyuan Zhang, Anna Okula Basile, Sarah A. Pendergrass, Marylyn D. Ritchie:
Real world scenarios in rare variant association analysis: the impact of imbalance and sample size on the power in silico. BMC Bioinform. 20(1): 46:1-46:10 (2019) - [c47]Pankhuri Singhal, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie:
Neural network-based multiomics data integration in Alzheimer's disease. GECCO (Companion) 2019: 403-404 - [c46]Xinyuan Zhang, Yogasudha Veturi, Shefali Setia Verma, William Bone, Anurag Verma, Anastasia Lucas, Scott J. Hebbring, Joshua C. Denny, Ian B. Stanaway, Gail P. Jarvik, David R. Crosslin, Eric B. Larson, Laura Rasmussen-Torvik, Sarah A. Pendergrass, Jordan W. Smoller, Hakon Hakonarson, Patrick Sleiman, Chunhua Weng, David Fasel, Wei-Qi Wei, Iftikhar J. Kullo, Daniel J. Schaid, Wendy K. Chung, Marylyn D. Ritchie:
Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network. PSB 2019: 272-283 - [c45]Binglan Li, Yogasudha Veturi, Yukiko Bradford, Shefali S. Verma, Anurag Verma, Anastasia M. Lucas, David W. Haas, Marylyn D. Ritchie:
Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies. PSB 2019: 296-307 - [e9]Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Teri E. Klein:
Biocomputing 2019: Proceedings of the Pacific Symposium, The Big Island of Hawaii, Hawaii, USA, January 3-7, 2019. 2019 [contents] - 2018
- [j39]Shefali S. Verma, Anastasia Lucas, Xinyuan Zhang, Yogasudha Veturi, Scott M. Dudek, Binglan Li, Ruowang Li, Ryan J. Urbanowicz, Jason H. Moore, Dokyoon Kim, Marylyn D. Ritchie:
Collective feature selection to identify crucial epistatic variants. BioData Min. 11(1): 5:1-5:22 (2018) - [j38]Anna Okula Basile, Marta Byrska-Bishop, John R. Wallace, Alex Thomas Frase, Marylyn D. Ritchie:
Novel features and enhancements in BioBin, a tool for the biologically inspired binning and association analysis of rare variants. Bioinform. 34(3): 527-529 (2018) - [j37]Anurag Verma, Yukiko Bradford, Scott M. Dudek, Anastasia Lucas, Shefali S. Verma, Sarah A. Pendergrass, Marylyn D. Ritchie:
A simulation study investigating power estimates in phenome-wide association studies. BMC Bioinform. 19(1): 120:1-120:8 (2018) - [c44]Yogasudha Veturi, Marylyn D. Ritchie:
How powerful are summary-based methods for identifying expression-trait associations under different genetic architectures?. PSB 2018: 228-239 - [c43]Binglan Li, Shefali S. Verma, Yogasudha Veturi, Anurag Verma, Yuki Bradford, David W. Haas, Marylyn D. Ritchie:
Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression. PSB 2018: 448-459 - [e8]Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Teri E. Klein:
Biocomputing 2018: Proceedings of the Pacific Symposium, The Big Island of Hawaii, Hawaii, USA, January 3-7, 2018. 2018 [contents] - 2017
- [j36]Emily Rose Holzinger, Shefali S. Verma, Carrie Colleen Buchanan Moore, Molly A. Hall, Rishika De, Diane Gilbert-Diamond, Matthew B. Lanktree, Nathan Pankratz, Antoinette Amuzu, Amber Burt, Caroline Dale, Scott M. Dudek, Clement E. Furlong, Tom R. Gaunt, Daniel Seung Kim, Helene Riess, Suthesh Sivapalaratnam, Vinicius Tragante, Erik P. A. van Iperen, Ariel Brautbar, David S. Carrell, David R. Crosslin, Gail P. Jarvik, Helena Kuivaniemi, Iftikhar J. Kullo, Eric B. Larson, Laura J. Rasmussen-Torvik, Gerard Tromp, Jens Baumert, Karen J. Cruickshanks, Martin Farrall, Aroon D. Hingorani, G. K. Hovingh, Marcus E. Kleber, Barbara E. Klein, Ronald Klein, Wolfgang Koenig, Leslie A. Lange, Winfried März, Kari E. North, N. Charlotte Onland-Moret, Alex P. Reiner, Philippa J. Talmud, Yvonne T. van der Schouw, James G. Wilson, Mika Kivimäki, Meena Kumari, Jason H. Moore, Fotios Drenos, Folkert W. Asselbergs, Brendan J. Keating, Marylyn D. Ritchie:
Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min. 10(1): 25:1-25:20 (2017) - [j35]Dokyoon Kim, Ruowang Li, Anastasia Lucas, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie:
Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma. J. Am. Medical Informatics Assoc. 24(3): 577-587 (2017) - [j34]Dokyoon Kim, Anna Okula Basile, Lisa Bang, Emrin Horgusluoglu, SeungGeun Lee, Marylyn D. Ritchie, Andrew J. Saykin, Kwangsik Nho:
Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease. BMC Medical Informatics Decis. Mak. 17(S-1): 61:1-61:7 (2017) - [c42]Shefali S. Verma, Anastasia Lucas, Daniel R. Lavage, Joseph B. Leader, Raghu Metpally, Sarathbabu Krishnamurthy, Frederick E. Dewey, Ingrid B. Borecki, Alexander E. Lopez, John D. Overton, John Penn, Jeffrey G. Reid, Sarah A. Pendergrass, Gerda Breitwieser, Marylyn D. Ritchie:
Identifying Genetic Associations with Variability in Metabolic Health and Blood Count Laboratory Values: Diving into the Quantitative Traits by Leveraging Longitudinal Data from an EHR. PSB 2017: 533-544 - [e7]Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Teri E. Klein:
Biocomputing 2017: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 3-7, 2017. 2017 [contents] - 2016
- [j33]Ruowang Li, Scott M. Dudek, Dokyoon Kim, Molly A. Hall, Yukiko Bradford, Peggy L. Peissig, Murray H. Brilliant, James G. Linneman, Catherine A. McCarty, Le Bao, Marylyn D. Ritchie:
Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network. BioData Min. 9: 18 (2016) - [j32]Carrie Colleen Buchanan Moore, Anna Okula Basile, John R. Wallace, Alex Thomas Frase, Marylyn DeRiggi Ritchie:
A biologically informed method for detecting rare variant associations. BioData Min. 9: 27 (2016) - [j31]Mariusz Butkiewicz, Jessica Cooke Bailey, Alex T. Frase, Scott M. Dudek, Brian L. Yaspan, Marylyn D. Ritchie, Sarah A. Pendergrass, Jonathan L. Haines:
Pathway analysis by randomization incorporating structure - PARIS: an update. Bioinform. 32(15): 2361-2363 (2016) - [c41]Shefali S. Verma, Alex T. Frase, Anurag Verma, Sarah A. Pendergrass, Shaun Mahony, David W. Haas, Marylyn D. Ritchie:
Phenome-Wide Interaction Study (PheWIS) in Aids Clinical Trials Group Data (ACTG). PSB 2016: 57-68 - [c40]Anurag Verma, Joseph B. Leader, Shefali S. Verma, Alex T. Frase, John R. Wallace, Scott M. Dudek, Daniel R. Lavage, Cristopher V. Van Hout, Frederick E. Dewey, John Penn, Alexander E. Lopez, John D. Overton, David J. Carey, David H. Ledbetter, H. Lester Kirchner, Marylyn D. Ritchie, Sarah A. Pendergrass:
Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies. PSB 2016: 168-179 - [c39]Anna Okula Basile, John R. Wallace, Peggy L. Peissig, Catherine A. McCarty, Murray H. Brilliant, Marylyn D. Ritchie:
Knowledge Driven Binning and PheWAS Analysis in Marshfield Personalized Medicine Research Project Using BioBin. PSB 2016: 249-260 - [c38]Dokyoon Kim, Anastasia Lucas, Joseph Glessner, Shefali S. Verma, Yukiko Bradford, Ruowang Li, Alex T. Frase, Hakon Hakonarson, Peggy L. Peissig, Murray H. Brilliant, Marylyn D. Ritchie:
Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden. PSB 2016: 357-368 - [e6]Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Teri E. Klein, Marylyn D. Ritchie:
Biocomputing 2016: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 4-8, 2016. 2016 [contents] - 2015
- [j30]Rishika De, Shefali S. Verma, Fotios Drenos, Emily Rose Holzinger, Michael Holmes, Molly A. Hall, David R. Crosslin, David Carrell, Hakon Hakonarson, Gail P. Jarvik, Eric B. Larson, Jennifer A. Pacheco, Laura Rasmussen-Torvik, Carrie Moore, Folkert W. Asselbergs, Jason H. Moore, Marylyn D. Ritchie, Brendan Keating, Diane Gilbert-Diamond:
Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR). BioData Min. 8: 41 (2015) - [j29]Dokyoon Kim, Je-Gun Joung, Kyung-Ah Sohn, Hyunjung Shin, Yu Rang Park, Marylyn D. Ritchie, Ju Han Kim:
Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction. J. Am. Medical Informatics Assoc. 22(1): 109-120 (2015) - [j28]Dokyoon Kim, Ruowang Li, Scott M. Dudek, Marylyn D. Ritchie:
Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer. J. Biomed. Informatics 56: 220-228 (2015) - [c37]Joseph B. Leader, Sarah A. Pendergrass, Anurag Verma, David J. Carey, Dustin N. Hartzel, Marylyn D. Ritchie, H. Lester Kirchner:
Contrasting Association Results Between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes. AMIA 2015 - [c36]Dokyoon Kim, Ruowang Li, Scott M. Dudek, John R. Wallace, Marylyn D. Ritchie:
Binning Somatic Mutations Based on Biological Knowledge for Predicting Survival: An Application in Renal Cell Carcinoma. Pacific Symposium on Biocomputing 2015: 96-107 - [e5]Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Teri E. Klein, Marylyn D. Ritchie:
Biocomputing 2015: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 4-8, 2015. 2015 [contents] - 2014
- [j27]Timothy H. Ciesielski, Sarah A. Pendergrass, Marquitta J. White, Nuri Kodaman, Rafal S. Sobota, Minjun Huang, Jacquelaine Bartlett, Jing Li, Qinxin Pan, Jiang Gui, Scott B. Selleck, Christopher I. Amos, Marylyn D. Ritchie, Jason H. Moore, Scott M. Williams:
Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors. BioData Min. 7: 10 (2014) - [j26]Do Kyoon Kim, Ruowang Li, Scott M. Dudek, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie:
Knowledge-driven genomic interactions: an application in ovarian cancer. BioData Min. 7: 20 (2014) - [j25]Emily Rose Holzinger, Scott M. Dudek, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie:
ATHENA: the analysis tool for heritable and environmental network associations. Bioinform. 30(5): 698-705 (2014) - [c35]Shefali S. Verma, Peggy L. Peissig, Deanna S. Cross, Carol Waudby, Murray H. Brilliant, Catherine A. McCarty, Marylyn D. Ritchie:
Benefits of Accurate Imputations in GWAS. EvoApplications 2014: 877-889 - [c34]Ruowang Li, Do Kyoon Kim, Scott M. Dudek, Marylyn D. Ritchie:
An integrated analysis of genome-wide DNA methylation and genetic variants underlying etoposide-induced cytotoxicity in European and African populations. EvoApplications 2014: 928-938 - [c33]Janina M. Jeff, Kristin Brown-Gentry, Robert J. Goodloe, Marylyn D. Ritchie, Joshua C. Denny, Abel N. Kho, Loren L. Armstrong, Bob McClellan Jr., Ping Mayo, Melissa Allen, Hailing Jin, Niloufar B. Gillani, Nathalie Schnetz-Boutaud, Holli H. Dilks, Melissa A. Basford, Jennifer A. Pacheco, Gail P. Jarvik, Rex L. Chisholm, Dan M. Roden, M. Geoffrey Hayes, Dana C. Crawford:
Replication of SCN5A Associations with Electrocardiographic Traits in African Americans from Clinical and Epidemiologic Studies. EvoApplications 2014: 939-951 - [e4]Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Teri E. Klein, Marylyn D. Ritchie:
Biocomputing 2014: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 3-7, 2014. 2014 [contents] - 2013
- [j24]Jason H. Moore, Marylyn D. Ritchie:
The central role of biological data mining in connecting diverse disciplines. BioData Min. 6: 14 (2013) - [j23]Daniel Wolfe, Scott M. Dudek, Marylyn D. Ritchie, Sarah A. Pendergrass:
Visualizing genomic information across chromosomes with PhenoGram. BioData Min. 6: 18 (2013) - [j22]Dokyoon Kim, Ruowang Li, Scott M. Dudek, Marylyn D. Ritchie:
ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network. BioData Min. 6: 23 (2013) - [j21]Sarah A. Pendergrass, Alex T. Frase, John R. Wallace, Daniel Wolfe, Neerja Katiyar, Carrie Moore, Marylyn D. Ritchie:
Genomic analyses with biofilter 2.0: knowledge driven filtering, annotation, and model development. BioData Min. 6: 25 (2013) - [c32]Ruowang Li, Emily Rose Holzinger, Scott M. Dudek, Marylyn D. Ritchie:
Evaluation of Parameter Contribution to Neural Network Size and Fitness in ATHENA for Genetic Analysis. GPTP 2013: 211-224 - [c31]Dokyoon Kim, Sungeun Kim, Shannon L. Risacher, Li Shen, Marylyn D. Ritchie, Michael W. Weiner, Andrew J. Saykin, Kwangsik Nho:
A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). MBIA 2013: 159-169 - [c30]Sarah A. Pendergrass, Shefali S. Verma, Emily Rose Holzinger, Carrie Moore, John R. Wallace, Scott M. Dudek, Wayne Huggins, Terrie E. Kitchner, Carol Waudby, Richard L. Berg, Catherine A. McCarty, Marylyn D. Ritchie:
Next-Generation Analysis of Cataracts: Determining Knowledge Driven Gene-Gene Interactions Using Biofilter, and Gene-Environment Interactions Using the PhenX Toolkit. Pacific Symposium on Biocomputing 2013: 147-158 - [c29]Carrie Moore, John R. Wallace, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie:
Using BioBin to Explore Rare Variant Population Stratification. Pacific Symposium on Biocomputing 2013: 332-343 - [c28]Emily Rose Holzinger, Scott M. Dudek, Alex T. Frase, Ronald M. Krauss, Marisa Wong Medina, Marylyn D. Ritchie:
ATHENA: A Tool for Meta-Dimensional Analysis Applied to Genotypes and Gene Expression Data to Predict HDL Cholesterol Levels. Pacific Symposium on Biocomputing 2013: 385-396 - 2012
- [j20]Sarah A. Pendergrass, Scott M. Dudek, Dana C. Crawford, Marylyn D. Ritchie:
Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View. BioData Min. 5: 5 (2012) - [j19]Carrie C. Buchanan, Eric Torstenson, William S. Bush, Marylyn D. Ritchie:
A comparison of cataloged variation between International HapMap Consortium and 1000 Genomes Project data. J. Am. Medical Informatics Assoc. 19(2): 289-294 (2012) - [c27]Emily Rose Holzinger, Scott M. Dudek, Alex T. Frase, Brooke L. Fridley, Prabhakar Chalise, Marylyn D. Ritchie:
Comparison of Methods for Meta-dimensional Data Analysis Using in Silico and Biological Data Sets. EvoBIO 2012: 134-143 - [c26]Carrie C. Buchanan, John R. Wallace, Alex T. Frase, Eric Torstenson, Sarah A. Pendergrass, Marylyn D. Ritchie:
A Biologically Informed Method for Detecting Associations with Rare Variants. EvoBIO 2012: 201-210 - [c25]Marylyn D. Ritchie, Nancy J. Cox, Cheng Cheng, Scott Weiss, Teri E. Klein, Russ B. Altman:
Systems Pharmacogenomics-Bridging the Gap. Pacific Symposium on Biocomputing 2012: 442 - 2011
- [j18]Thorsten Lehr, Jing Yuan, Dirk Zeumer, Supriya Jayadev, Marylyn D. Ritchie:
Rule based classifier for the analysis of gene-gene and gene-environment interactions in genetic association studies. BioData Min. 4: 4 (2011) - [j17]Benjamin J. Grady, Eric Torstenson, Marylyn D. Ritchie:
The effects of linkage disequilibrium in large scale SNP datasets for MDR. BioData Min. 4: 11 (2011) - [j16]Hua Xu, Min Jiang, Matthew Oetjens, Erica A. Bowton, Andrea H. Ramirez, Janina M. Jeff, Melissa A. Basford, Jill M. Pulley, James D. Cowan, Xiaoming Wang, Marylyn D. Ritchie, Daniel R. Masys, Dan M. Roden, Dana C. Crawford, Joshua C. Denny:
Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin. J. Am. Medical Informatics Assoc. 18(4): 387-391 (2011) - [c24]Chun-Nan Hsu, Cheng-Ju Kuo, Congxing Cai, Sarah A. Pendergrass, Marylyn D. Ritchie, José Luis Ambite:
Learning Phenotype Mapping for Integrating Large Genetic Data. BioNLP@ACL 2011: 19-27 - [c23]Emily Rose Holzinger, Scott M. Dudek, Eric Torstenson, Marylyn D. Ritchie:
ATHENA Optimization: The Effect of Initial Parameter Settings across Different Genetic Models. EvoBio 2011: 48-58 - [c22]Benjamin J. Grady, Eric Torstenson, Paul J. McLaren, Paul I. W. de Bakker, David W. Haas, Gregory K. Robbins, Roy M. Gulick, Richard Haubrich, Heather Ribaudo, Marylyn D. Ritchie:
Use of Biological Knowledge to Inform The Analysis of Gene-Gene Interactions Involved in Modulating Virologic Failure with Efavirenz-Containing Treatment Regimens in Art-Naive Actg Clinical Trials Participants. Pacific Symposium on Biocomputing 2011: 253-264 - [c21]Sarah A. Pendergrass, Scott M. Dudek, Dan M. Roden, Dana C. Crawford, Marylyn D. Ritchie:
Visual Integration of Results from a Large Dna Biobank (Biovu) Using Synthesis-View. Pacific Symposium on Biocomputing 2011: 265-275 - [e3]Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini:
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 9th European Conference, EvoBIO 2011, Torino, Italy, April 27-29, 2011. Proceedings. Lecture Notes in Computer Science 6623, Springer 2011, ISBN 978-3-642-20388-6 [contents] - 2010
- [j15]Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie:
ATHENA: A knowledge-based hybrid backpropagation-grammatical evolution neural network algorithm for discovering epistasis among quantitative trait Loci. BioData Min. 3: 5 (2010) - [j14]Sarah A. Pendergrass, Scott M. Dudek, Dana C. Crawford, Marylyn D. Ritchie:
Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis. BioData Min. 3: 10 (2010) - [j13]William S. Bush, Scott M. Dudek, Marylyn D. Ritchie:
Visualizing SNP statistics in the context of linkage disequilibrium using LD-Plus. Bioinform. 26(4): 578-579 (2010) - [j12]Joshua C. Denny, Marylyn D. Ritchie, Melissa A. Basford, Jill M. Pulley, Lisa Bastarache, Kristin Brown-Gentry, Deede Wang, Daniel R. Masys, Dan M. Roden, Dana C. Crawford:
PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations. Bioinform. 26(9): 1205-1210 (2010) - [c20]Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie:
Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci. EvoBIO 2010: 86-97 - [c19]Emily Rose Holzinger, Carrie C. Buchanan, Scott M. Dudek, Eric Torstenson, Stephen D. Turner, Marylyn D. Ritchie:
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of small main effects. GECCO 2010: 203-210 - [c18]Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie:
Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction. PPSN (1) 2010: 394-403 - [c17]Benjamin J. Grady, Eric Torstenson, Scott M. Dudek, Justin Giles, David Sexton, Marylyn D. Ritchie:
Finding Unique Filter Sets in PLATO: A Precursor to Efficient Interaction Analysis in GWAS Data. Pacific Symposium on Biocomputing 2010: 315-326 - [e2]Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini:
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010. Proceedings. Lecture Notes in Computer Science 6023, Springer 2010, ISBN 978-3-642-12210-1 [contents]
2000 – 2009
- 2009
- [j11]William S. Bush, Guanhua Chen, Eric Torstenson, Marylyn D. Ritchie:
LD-Spline: Mapping SNPs on genotyping platforms to genomic regions using patterns of linkage disequilibrium. BioData Min. 2: 7 (2009) - [c16]Stephen D. Turner, Marylyn D. Ritchie, William S. Bush:
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks. EvoBIO 2009: 80-91 - [c15]William S. Bush, Scott M. Dudek, Marylyn D. Ritchie:
Biofilter: A Knowledge-Integration System for the Multi-Locus Analysis of Genome-Wide Association Studies. Pacific Symposium on Biocomputing 2009: 368-379 - [e1]Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini:
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 7th European Conference, EvoBIO 2009, Tübingen, Germany, April 15-17, 2009, Proceedings. Lecture Notes in Computer Science 5483, Springer 2009, ISBN 978-3-642-01183-2 [contents] - 2008
- [j10]Jesús S. Aguilar-Ruiz, Jason H. Moore, Marylyn D. Ritchie:
Filling the gap between biology and computer science. BioData Min. 1 (2008) - [j9]Alison A. Motsinger-Reif, Marylyn D. Ritchie:
Neural networks for genetic epidemiology: past, present, and future. BioData Min. 1 (2008) - [j8]William S. Bush, Todd L. Edwards, Scott M. Dudek, Brett A. McKinney, Marylyn D. Ritchie:
Alternative contingency table measures improve the power and detection of multifactor dimensionality reduction. BMC Bioinform. 9 (2008) - [c14]Todd L. Edwards, William S. Bush, Stephen D. Turner, Scott M. Dudek, Eric Torstenson, Mike Schmidt, Eden Martin, Marylyn D. Ritchie:
Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA. EvoBIO 2008: 24-35 - [c13]Nicholas E. Hardison, Theresa J. Fanelli, Scott M. Dudek, David M. Reif, Marylyn D. Ritchie, Alison A. Motsinger-Reif:
A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance. GECCO 2008: 353-354 - 2007
- [j7]Marylyn D. Ritchie, Alison A. Motsinger, William S. Bush, Christopher S. Coffey, Jason H. Moore:
Genetic programming neural networks: A powerful bioinformatics tool for human genetics. Appl. Soft Comput. 7(1): 471-479 (2007) - [c12]Alison A. Motsinger, David M. Reif, Theresa J. Fanelli, Anna C. Davis, Marylyn D. Ritchie:
Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks. CIBCB 2007: 1-8 - [c11]William S. Bush, Tricia A. Thornton-Wells, Marylyn D. Ritchie:
Association Rule Discovery Has the Ability to Model Complex Genetic Effects. CIDM 2007: 624-629 - 2006
- [j6]William S. Bush, Scott M. Dudek, Marylyn D. Ritchie:
Parallel multifactor dimensionality reduction: a tool for the large-scale analysis of gene-gene interactions. Bioinform. 22(17): 2173-2174 (2006) - [j5]Alison A. Motsinger, Stephen L. Lee, George Mellick, Marylyn D. Ritchie:
GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease. BMC Bioinform. 7: 39 (2006) - [c10]Alison A. Motsinger, David M. Reif, Scott M. Dudek, Marylyn D. Ritchie:
Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology. CIBCB 2006: 1-8 - [c9]Alison A. Motsinger, Scott M. Dudek, Lance W. Hahn, Marylyn D. Ritchie:
Comparison of Neural Network Optimization Approaches for Studies of Human Genetics. EvoWorkshops 2006: 103-114 - [c8]Alison A. Motsinger, Lance W. Hahn, Scott M. Dudek, Kelli K. Ryckman, Marylyn D. Ritchie:
Alternative cross-over strategies and selection techniques for grammatical evolution optimized neural networks. GECCO 2006: 947-948 - [c7]Scott M. Dudek, Alison A. Motsinger, Digna R. Velez, Scott M. Williams, Marylyn D. Ritchie:
Data Simulation Software for Whole-Genome Association and Other Studies in Human Genetics. Pacific Symposium on Biocomputing 2006: 499-510 - [c6]Michelle Whirl Carrillo, Russell A. Wilke, Marylyn D. Ritchie:
Session Introduction. Pacific Symposium on Biocomputing 2006: 544-546 - [c5]Alison A. Motsinger, Brian S. Donahue, Nancy J. Brown, Dan M. Roden, Marylyn D. Ritchie:
Risk Factor Interactions and Genetic Effects Associated with Post-Operative Atrial Fibrillation. Pacific Symposium on Biocomputing 2006: 584-595 - 2005
- [c4]William S. Bush, Alison A. Motsinger, Scott M. Dudek, Marylyn D. Ritchie:
Can Neural Network Constraints in GP Provide Power to Detect Genes Associated with Human Disease?. EvoWorkshops 2005: 44-53 - [c3]Marylyn D. Ritchie, Michelle Whirl Carrillo, Russell A. Wilke:
Session Introduction: Computational Approaches for Pharmacogenomics. Pacific Symposium on Biocomputing 2005 - 2004
- [j4]Jason H. Moore, Lance W. Hahn, Marylyn D. Ritchie, Tricia A. Thornton, Bill C. White:
Routine discovery of complex genetic models using genetic algorithms. Appl. Soft Comput. 4(1): 79-86 (2004) - [j3]Christopher S. Coffey, Patricia R. Hebert, Marylyn D. Ritchie, Harlan M. Krumholz, J. Michael Gaziano, Paul M. Ridker, Nancy J. Brown, Douglas E. Vaughan, Jason H. Moore:
An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene Interactions on risk of myocardial infarction: The importance of model validation. BMC Bioinform. 5: 49 (2004) - [c2]Marylyn D. Ritchie, Christopher S. Coffey, Jason H. Moore:
Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics. GECCO (1) 2004: 438-448 - 2003
- [j2]Lance W. Hahn, Marylyn D. Ritchie, Jason H. Moore:
Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions. Bioinform. 19(3): 376-382 (2003) - [j1]Marylyn D. Ritchie, Bill C. White, Joel S. Parker, Lance W. Hahn, Jason H. Moore:
Optimizationof neural network architecture using genetic programming improvesdetection and modeling of gene-gene interactions in studies of humandiseases. BMC Bioinform. 4: 28 (2003) - 2002
- [c1]Jason H. Moore, Lance W. Hahn, Marylyn D. Ritchie, Tricia A. Thornton, Bill C. White:
Application Of Genetic Algorithms To The Discovery Of Complex Models For Simulation Studies In Human Genetics. GECCO 2002: 1150-1155
Coauthor Index
Alex Thomas Frase
aka: Alex T. Frase
aka: Alex T. Frase
Do Kyoon Kim
aka: Dokyoon Kim
aka: Dokyoon Kim
Alison A. Motsinger-Reif
aka: Alison A. Motsinger
aka: Alison A. Motsinger
Shefali S. Verma
aka: Shefali Setia Verma
aka: Shefali Setia Verma
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